Crop protection products are essential in safeguarding crops against various insects, diseases and pests. Pesticides are very important as they help in improving the yield of agricultural produce. On an average basis, application of pesticides saves around 68% of the yield for the common agriculture crops including cotton, maize, rice and soybean. The crop protection chemicals market is segmented along three broader products: herbicides, insecticides, and fungicides. Rising demand for agricultural crops resulting from global population growth; increasing standard of living and increasing demand for biofuels are the major triggers that are keeping the global crop protection market afloat. The growing demand for agricultural crops lead to increasing crop and food prices, acting as a further incentive for farmers to increase their production and protect their harvests.

One of the crucial trends observed within the market is the rapidly growing generic product segment. According to industry bodies, the growth in the generics segment is expected to continue, with patented products worth billions expected to lose patented status between 2014 and 2020. On the development front, there has been a decline in the launch of new active ingredients by various companies. Moreover, the market faces certain challenges that may curtail its growth potential including environment and health effects. The major factors which contribute towards growth of the industry include growth in GDP, rising world population, declining arable land per person and increasing urbanization.

The report studies the crop protection market on a global scale and its various segments and also provides detailed information regarding the key regional markets. The competition in the global crop protection market is intense with few large players viz. Syngenta AG, Bayer CropScience AG, BASF SE and Dow. In addition, global competitive landscape along with the company profiles of the leading players in the market is discussed in detail.

By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have projected the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.